Exemples de projets

  • CSX Solves Railroad Operation Challenges with and without AnyLogic Rail Library
    CSX is a US railroad company that operates about 21,000 route miles (34,000 km). AnyLogic allows the railroad industry users to simulate line-of-road, terminal, and yard problems. The following three projects, completed by CSX in 2014, covered a variety of tasks that were solved using AnyLogic software.
  • Applications de réponses aux désastres à l’aide de la modélisation basée sur des agents
    Dans son effort pour trouver des solutions opérationnelles pratiques pour trouver une réponse rapide et efficace à une crise imprévue ou une catastrophe naturelle, Batelle avait besoin de tester l’efficacité d’une mise enplace d’un abri en 48 heures dans un scénario d’abri nucléaire improvisé (IND). Le but visé était de réduire les doses de radiations reçues pendant une évacuation de masse non coordonnée, en comparant l’évacuation immédiate avec la mise en place d’un abri.
  • Evaluation des politiques de santé afin de réduire le taux d’accouchements par césarienne
    La nécessité de réduire le taux d’accouchement par césarienne est reconnue par de nombreux chercheurs depuis des années. Pour la première fois, dans une recherche menée pour l’Etat de Washington State, Alan Mills, FSA MAAA ND, actuaire chercheur, et ses collègues ont reproduit cette partie du système de soins américain dans un modèle de simulation.
  • Formulation de politiques sur les soins de santé à l’aide de la simulation
    Cette initiative du Départment de l’ingénierie mécanique et industrielle de l’univerité de Toronto, le Centre de recherche sur l’ingénierie de la santé (CRHE), répondait au désir immédiat et irrésistible d’apporter des améliorations dans le rendement et la qualité du système de santé Canadien.
  • Evaluating Container ETA Data Flow Introduction in the Port of Hamburg
    Researchers from the Technical University of Darmstadt, Germany, worked to identify whether the introduction of each container’s ETA would improve the situation with capacity utilization among the supply chain actors in the port of Hamburg, one of world’s top 20 ports in terms of container traffic.
  • Simple Simulation Model Helps Intel Avoid Production Plant Downtime
    Intel factories used a particular type of equipment that often broke down, which caused capacity constraints. These expensive parts were used in critical factory operations, and the repairs took significant time, so it was necessary to have extra spare parts on hand to avoid downtimes. Broken parts caused constraints at some of the factories while other factories over purchased spares.
  • An Agent-Based Explanation for SPMI Living Situation Changes
    Over the past 60 years, the number of Severely and Persistently Mentally Ill (SPMI) patients in the US living in the community increased. Yet a growing minority of people with severe illness are worse off because they are homeless or incarcerated. In this case study, IBM Global Research and Otsuka Pharmaceuticals used an agent-based approach to model these remarkable swings.
  • Simulation Modeling of Offshore Offloading System for Arctic Oil and Gas Condensate Field
    The Novoportovskoye oil and gas condensate field is located in the Yamal peninsula and owned by Gazprom Neft, the fourth largest oil producer in Russia. Oil from the field is transferred via 100km pipeline to the sea terminal at Cape Kamenny, where it is loaded into arctic cargo tanks for further transportation. The main issues in planning tanker transportation in an arctic region are the harsh ice environment and difficult sea conditions.
  • Modeling the Cladding Leak Detection Shop of a Nuclear Reactor's Module
    The cladding leak detection shop is part of an automated line of fuel assembly production. Leak control is based on heating the fuel element groups. While warming up, defective units eject the control gas, which is detected by a leak locator. The defected group is divided into two parts. Each part is screened in the same way until the leaking fuel element is found.
  • Preventing “Bus Bunching” with Smart Phone Application Implementation
    In public transport, bus bunching refers to a group of two or more transit vehicles (such as buses or trains), which were scheduled to be evenly spaced running along the same route, instead running in the same location at the same time. Dave Sprogis, Volunteer Software Developer, and Data Analyst in Watertown, MA, used AnyLogic to confirm his thesis that preventing "Bus Bunching" would improve the experience of public transit bus riders.